This project seeks to estimate sport fish harvest and releases of rockfish in Alaska waters by improving on the Howard et al. (2020) methods and expand the time series back to 1977 when the statewide harvest survey (SWHS) was first implemented. This is essentially a Bayesian version of the Howard methods that allows for more appropriate and defensible sharing of information between areas, handles missing data in a more appropriate manor, accurately propagates uncertainty throughout the estimation procedure and replaces the Howard decision tree approach to low sample sizes with a hierarchical model. The methods and results for generating harvest estimates are generally consistent between the Bayesian model and the Howard methods. Harvest estimates are consistent with Howard estimates during contemporary times, but may differ based on more appropriate weighting of SWHS and logbook data, including estimating and correcting bias in the SWHS data.

Table 1. Summary of key improvements in reconstructiing sport fish removals of rockfish using the Bayesian model as compared to the Howard et al. (2020) methods.
Issue Howard Bayes
Time series 1999 - present 1977 - present
Bias in SWHS Not explicitly dealt with. Relies on logbook data and ratios of guided/unguided from SWHS data to estimate unguided releases and harvests. Explicitly estimates bias in SWHS harvest and release estimates based on logbook data.
Species composition of releases Assumes that species composition of releases is equal to that of the harvest, which is not evident in the logbook data. Recognizes different release probabilities by species / species assemblage and estimates it from logbook data and bias corrected SWHS data
Sample size limitations Uses sample size threshholds such that when areas fall below those threshholds values are borrowed from nearby areas. Uses a hierarchichacal modelling approach that shares information between areas in the same region. Thus all data is used, even with small sample sizes. This is a more sound method that avoids assumptions and uses all of the data.
Error propogation Error is propogated when variance estimates are available, but there is uncertainty associated with borrowing values from nearby areas, or the assumption of species compositions being identical in harvest and releases, are not dealt with. By breaking the assumption that species composition is equal between harvests and releases, uncertainty in the release estimates is more reflective of the fishery. Furthermore, the hyerarchichal approach more accurately captures uncertainy within and between areas within a region.
**Figure 1.**- Data sources for estimating rockfish harvests and releases in ADF&G commercial fisheries management units. Note that initial rockfish harvest estimates were not differentiated into species assemblage or species until 1998 when logbooks began differentiating by pelagic and non-pelagic. Logbooks began to collect data on yelloweye beginning in 2006. Port sampling programs to gather data on species composition of harvests began in 1996 in Southcentral and Kodiak and in 2006 in Southeast.

Figure 1.- Data sources for estimating rockfish harvests and releases in ADF&G commercial fisheries management units. Note that initial rockfish harvest estimates were not differentiated into species assemblage or species until 1998 when logbooks began differentiating by pelagic and non-pelagic. Logbooks began to collect data on yelloweye beginning in 2006. Port sampling programs to gather data on species composition of harvests began in 1996 in Southcentral and Kodiak and in 2006 in Southeast.


**Figure 2.**- SWHS harvest (left) and release (right) estimates from guided trips (x-axis) versus repoted harvests from charter logbooks (y-axis).

Figure 2.- SWHS harvest (left) and release (right) estimates from guided trips (x-axis) versus repoted harvests from charter logbooks (y-axis).


Results

**Figure X.**- Rhat values and proportion of parameters that converged (Rhat < 1.1.)

Figure X.- Rhat values and proportion of parameters that converged (Rhat < 1.1.)

Estimate comparison

Since previous estimates of rockfish harvest have been produced these first 3 graphs will be used to show how the modeled estimates compare to the estimates produced earlier. For total rockfish the estimates are in general agreement although differences are noted. These estimates should be more reliable because they include both SWHS and guide logbook data, handle variance more appropriately, use hierarchical distributions when data is missing, directly consider observation error and are produced using reproducible research.

**Figure 3.**- Total rockfish harvests 1996-2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 3.- Total rockfish harvests 1996-2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.



**Figure 3.**- Total rockfish releases 1996--2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 3.- Total rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.


Notes from Adam: When looking at only black rockfish the most significant differences are for the Prince William Sound Inside area. I did not spend a great deal of time tracking this down although it looks like the previous version used bad values for \(P_{(black)ayu}\) for at least unguided anglers. For the moment I would ignore the results for BSIA and SOKO2SAP. I think it is possible to give approximate values for these areas but it will require a little more coding which I have yet to do.

**Figure 4.**- Black rockfish harvests 1996--2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 4.- Black rockfish harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.


And black rockfish releases…

**Figure 5.**- Black rockfish releases 1996--2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 5.- Black rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.





**Figure 6.**- Yellow rockfish harvests 1996--2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 6.- Yellow rockfish harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.



**Figure 7.**- Yellow rockfish releases 1996--2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 7.- Yellow rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.





**Figure 8.**- DSR rockfish (excluding yelloweye) harvests 1996--2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 8.- DSR rockfish (excluding yelloweye) harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.



**Figure 9.**- DSR rockfish releases (including yelloweye) 1996--2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 9.- DSR rockfish releases (including yelloweye) 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.



**Figure 11.**- Slope rockfish harvests 1996-2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 11.- Slope rockfish harvests 1996-2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.



**Figure 12.**- Slope rockfish releases 1996--2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 12.- Slope rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

**Figure 13.**- *Other* rockfish (non-pelagic and non-yelloweye) harvests 1996--2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 13.- Other rockfish (non-pelagic and non-yelloweye) harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.



**Figure 14.**- *Other* rockfish (non-pelagic and non-yelloweye) releases 1996--2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 14.- Other rockfish (non-pelagic and non-yelloweye) releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.



Total Biomass Removal Estimates

**Figure 15.**- Black rockfish estimated total removals in lbs in 1996--2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 15.- Black rockfish estimated total removals in lbs in 1996–2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.



**Figure 16.**- Yellow rockfish estimated total removals in lbs in 1996--2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 16.- Yellow rockfish estimated total removals in lbs in 1996–2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

**Figure 17.**- Pelagic rockfish estimated total removals in lbs in 1996--2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 17.- Pelagic rockfish estimated total removals in lbs in 1996–2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.


**Figure 18.**- Non-yelloweye, demersal shelf rockfish estimated total removals in lbs in 1996-2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 18.- Non-yelloweye, demersal shelf rockfish estimated total removals in lbs in 1996-2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.


**Figure 19.**- Slope rockfish estimated total removals in lbs in 1996-2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 19.- Slope rockfish estimated total removals in lbs in 1996-2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.


Model fit

Logbook residuals

**Figure 20.**- Residuals from logbook harvests.

Figure 20.- Residuals from logbook harvests.


SWHS residuals

**Figure 21.**- Residuals from SWHS harvests.

Figure 21.- Residuals from SWHS harvests.



**Figure 22.**- Residual of SWHS releases.

Figure 22.- Residual of SWHS releases.

Parameter estimates

P(Charter)

These histograms show the posterior distribution of the mean percent of rockfish harvested by the charter fleet.

**Figure 23.**- Mean percent of harvest by charter anglers.

Figure 23.- Mean percent of harvest by charter anglers.


When considered annually we see the percent of rockfish harvested by the charter fleet follows our data fairly well although the model smooths out the changes and we just do not have much information about this ratio. Prior to 2011 the percent charter is confounded with SWHS bias and should be mostly discounted.

**Figure 24.**- Annual estimates of the percent of harvest by charter anglers for 16 commerical fishing manamgent areas, 1996-2023.

Figure 24.- Annual estimates of the percent of harvest by charter anglers for 16 commerical fishing manamgent areas, 1996-2023.

P(Harvest)

These plots show the fitted logistic line to the proportion of caught rockfish that are harvested. These estimates are used for hindcasting catch estimates based on the harvest data in early years when catch estimates are unavailable.


**Figure 25.**- Annual proportion of pelagic rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available.

Figure 25.- Annual proportion of pelagic rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available.


**Figure 26.**- Annual proportion of yelloweye rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available.

Figure 26.- Annual proportion of yelloweye rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available.


**Figure 27.**- Annual proportion of non-pelagic, non-yelloweye rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available. Note, that this is not estimated for Southeast areas because non=pelagics are divided between DSR (including yelloweye) and Slope species.

Figure 27.- Annual proportion of non-pelagic, non-yelloweye rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available. Note, that this is not estimated for Southeast areas because non=pelagics are divided between DSR (including yelloweye) and Slope species.


**Figure 28.**- Annual proportion of DSR rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available. Note that the observed logbook data is for all non-pelagic, non-yelloweye fish.

Figure 28.- Annual proportion of DSR rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available. Note that the observed logbook data is for all non-pelagic, non-yelloweye fish.


**Figure 29.**- Annual proportion of Slope rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available. Note that the observed logbook data is for all non-pelagic, non-yelloweye fish.

Figure 29.- Annual proportion of Slope rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available. Note that the observed logbook data is for all non-pelagic, non-yelloweye fish.

SWHS bias

Figure 23 shows the mean estimate for SWHS bias in harvests and releases. Cook Inlet, North Gulf Coast and North Southeast Inside all look pretty good while most other areas have substantial bias. Prince William Sound Inside has the largest bias. Bias in release estimates is substantial and whereas the SWHS appears to underestimate harvests, it appears to greatly overestimates releases by a factor of 2 or more in most areas as derived from logbook reported releases.

**Figure 30.**- Mean SWHS bias for harvests and catches. Note that a bias < 1 indicates that the SWHS *underestimates* the true value and bias > 1 indicates the survey *overestimates* the true value.

Figure 30.- Mean SWHS bias for harvests and catches. Note that a bias < 1 indicates that the SWHS underestimates the true value and bias > 1 indicates the survey overestimates the true value.


Our estimates of SWHS harvest bias track observations fairly well when he have guided harvest estimates. The estimates of release bias in the SWHS data track observed patterns to an extent, but appear to smooth these more volatile disagreements with the logbook data. Adam postulated in his initial start on this that some of this could be the result of the estimates of the proportion guided. This value was not modelled with a trend and thus applies a constant estimate when hindcasting. Data on these relationships could greatly improve this model.

**Figure 31.**- Annual estimates of SWHS bias in harvests and releases for 16 commerical fishing manamgent areas, 1996-2023. Note that a bias < 1 indicates that the SWHS *underestimates* the true value and bias > 1 indicates the survey *overestimates* the true value.

Figure 31.- Annual estimates of SWHS bias in harvests and releases for 16 commerical fishing manamgent areas, 1996-2023. Note that a bias < 1 indicates that the SWHS underestimates the true value and bias > 1 indicates the survey overestimates the true value.

P(pelagic)

We model the percentage of pelagic rockfish in the harvest because we have the information for charter anglers (via logbooks) starting in 1998. Other than looking at the model estimates you can use Figure 25 to compare the two data streams for pelagic rockfish harvest. In general they are in agreement with major exceptions in Price William Sound inside, Prince William Sound outside (early in the time series) and South Southeast inside.

**Figure 32.**- Annual estimates of the percent of the sport harvest that was pelagic rockfish for 16 commerical fishing manamgent areas, 1996-2023.

Figure 32.- Annual estimates of the percent of the sport harvest that was pelagic rockfish for 16 commerical fishing manamgent areas, 1996-2023.

P(black|pelagic)

Note that in Southeast Alaska we only have composition data starting in 2006. Tania dug up old SE data, but it did not provide any useful data for species apportionment. For the most part, P(black|pelagic) is relatively constant across areas, with the exception of Cook Inlet and NSEI in Southeast AK. It may be worth discussing whether the shifts in those areas is a result of improved or changing species identification rather than actual shift in the species composition of the catch.

**Figure 33.**- Annual estimates of the percent of the sport harvest of pelagic rockfish that were black rockfish for 16 commerical fishing manamgent areas, 1996-2023. Kodiak panels include data from a hydroacoustic survey and the proportion of pelagic rockfish that are black in those areas (red) and the adjusted proportions based on obseved harvests for charter (blue) and private (cyan) users.

Figure 33.- Annual estimates of the percent of the sport harvest of pelagic rockfish that were black rockfish for 16 commerical fishing manamgent areas, 1996-2023. Kodiak panels include data from a hydroacoustic survey and the proportion of pelagic rockfish that are black in those areas (red) and the adjusted proportions based on obseved harvests for charter (blue) and private (cyan) users.

P(yelloweye|non-pelagic / yelloweye|DSR)

**Figure 34.**- Annual estimates of the percent of the sport harvest of non-pelagic rockfish that were yelloweye rockfish for 16 commerical fishing manamgent areas, 1996-2023. Note that P(yelloweye) is the the proportion relative to non-pelagics for Central and Kodiak areas but is relative to DSR for Southeast areas.

Figure 34.- Annual estimates of the percent of the sport harvest of non-pelagic rockfish that were yelloweye rockfish for 16 commerical fishing manamgent areas, 1996-2023. Note that P(yelloweye) is the the proportion relative to non-pelagics for Central and Kodiak areas but is relative to DSR for Southeast areas.

P(DSR|non-pelagic)

**Figure 35.**- Annual estimates of the percent of the sport harvest of non-pelagic rockfish that were DSR rockfish for 6 Southeast commerical fishing manamgent areas, 1996-2023.

Figure 35.- Annual estimates of the percent of the sport harvest of non-pelagic rockfish that were DSR rockfish for 6 Southeast commerical fishing manamgent areas, 1996-2023.

P(slope|non-pelagic)

**Figure 36.**- Annual estimates of the percent of the sport harvest of non-pelagic rockfish that were slope rockfish for 6 southeast commerical fishing manamgent areas, 1996-2023. Note that P(yelloweye) is the the proportion relative to non-pelagics for Central and Kodiak areas but is relative to DSR for Southeast areas.

Figure 36.- Annual estimates of the percent of the sport harvest of non-pelagic rockfish that were slope rockfish for 6 southeast commerical fishing manamgent areas, 1996-2023. Note that P(yelloweye) is the the proportion relative to non-pelagics for Central and Kodiak areas but is relative to DSR for Southeast areas.



P(slope|non-pelagic & non-yellowye) For release estimates

## NULL



Weight Fits

**Figure 37.**- Mean weights of black rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 37.- Mean weights of black rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.


**Figure 38.**- Mean weights of yelloweye rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 38.- Mean weights of yelloweye rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.


**Figure 39.**- Mean weights of non-black, pelagic rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 39.- Mean weights of non-black, pelagic rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.


**Figure 40.**- Mean weights of non-yelloweye, demersal shelf rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 40.- Mean weights of non-yelloweye, demersal shelf rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.


**Figure 41.**- Mean weights of slope rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 41.- Mean weights of slope rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.


Summary of unconverged parameters:

The proportion of unconverged species composition proportional estimates that are near the bounds of 0 or 1 is 0.3821138

The proportion of unconverged true parameters (defined as Rhat > 1.01) that are also in excess of an Rhat of 1.1 is 0.11 while 0.89 are less than 1.1.

Table Xa. Species proportion derived quantities that are not with 0.05 of the 0 and 1 bounds and are not converged relative to an Rhat of 1.01.

variable

area_n

year

user

mean

median

lower

upper

Rhat

sd

skew

area

p_pelagic

11

1

1

0.458

0.458

0.186

0.723

1.102

0.140

0.000

CSEO

p_pelagic

11

1

2

0.391

0.386

0.144

0.655

1.094

0.132

0.038

CSEO

p_pelagic

11

10

1

0.455

0.454

0.196

0.716

1.099

0.133

0.008

CSEO

p_pelagic

11

10

2

0.391

0.388

0.165

0.652

1.100

0.128

0.023

CSEO

p_pelagic

11

11

1

0.456

0.455

0.200

0.709

1.101

0.133

0.008

CSEO

p_pelagic

11

11

2

0.389

0.383

0.154

0.645

1.093

0.128

0.047

CSEO

p_pelagic

11

12

1

0.459

0.459

0.193

0.722

1.097

0.134

0.000

CSEO

p_pelagic

11

12

2

0.394

0.390

0.160

0.649

1.086

0.129

0.031

CSEO

p_pelagic

11

13

1

0.459

0.458

0.207

0.715

1.112

0.132

0.008

CSEO

p_pelagic

11

13

2

0.389

0.385

0.158

0.646

1.091

0.128

0.031

CSEO

p_pelagic

11

14

1

0.472

0.476

0.225

0.724

1.109

0.131

-0.031

CSEO

p_pelagic

11

14

2

0.397

0.394

0.161

0.658

1.082

0.131

0.023

CSEO

p_pelagic

11

15

1

0.429

0.425

0.184

0.690

1.098

0.132

0.030

CSEO

p_pelagic

11

15

2

0.387

0.382

0.161

0.644

1.088

0.125

0.040

CSEO

p_pelagic

11

16

1

0.476

0.476

0.226

0.724

1.078

0.126

0.000

CSEO

p_pelagic

11

16

2

0.396

0.391

0.162

0.653

1.091

0.127

0.039

CSEO

p_pelagic

11

17

1

0.467

0.466

0.229

0.716

1.078

0.127

0.008

CSEO

p_pelagic

11

17

2

0.394

0.388

0.172

0.651

1.080

0.125

0.048

CSEO

p_pelagic

11

18

1

0.472

0.470

0.234

0.723

1.083

0.127

0.016

CSEO

p_pelagic

11

18

2

0.399

0.396

0.172

0.669

1.072

0.127

0.024

CSEO

p_pelagic

11

19

1

0.475

0.474

0.243

0.721

1.066

0.122

0.008

CSEO

p_pelagic

11

19

2

0.400

0.391

0.178

0.654

1.057

0.123

0.073

CSEO

p_pelagic

11

2

1

0.457

0.456

0.184

0.715

1.094

0.137

0.007

CSEO

p_pelagic

11

2

2

0.388

0.385

0.147

0.656

1.123

0.132

0.023

CSEO

p_pelagic

11

20

1

0.477

0.474

0.238

0.712

1.048

0.126

0.024

CSEO

p_pelagic

11

20

2

0.403

0.397

0.170

0.669

1.050

0.126

0.047

CSEO

p_pelagic

11

21

1

0.485

0.483

0.251

0.727

1.042

0.124

0.016

CSEO

p_pelagic

11

21

2

0.403

0.398

0.173

0.655

1.028

0.124

0.040

CSEO

p_pelagic

11

22

2

0.411

0.408

0.186

0.663

1.036

0.125

0.024

CSEO

p_pelagic

11

23

2

0.448

0.443

0.220

0.693

1.027

0.123

0.041

CSEO

p_pelagic

11

3

1

0.458

0.463

0.193

0.707

1.108

0.135

-0.037

CSEO

p_pelagic

11

3

2

0.391

0.382

0.151

0.665

1.092

0.132

0.068

CSEO

p_pelagic

11

4

1

0.457

0.456

0.185

0.732

1.092

0.139

0.007

CSEO

p_pelagic

11

4

2

0.389

0.384

0.156

0.656

1.107

0.130

0.039

CSEO

p_pelagic

11

5

1

0.453

0.453

0.190

0.710

1.084

0.136

0.000

CSEO

p_pelagic

11

5

2

0.388

0.384

0.147

0.653

1.085

0.132

0.030

CSEO

p_pelagic

11

6

1

0.455

0.453

0.201

0.708

1.087

0.131

0.015

CSEO

p_pelagic

11

6

2

0.392

0.386

0.145

0.652

1.092

0.130

0.046

CSEO

p_pelagic

11

7

1

0.451

0.450

0.188

0.710

1.091

0.137

0.007

CSEO

p_pelagic

11

7

2

0.393

0.389

0.152

0.652

1.119

0.132

0.030

CSEO

p_pelagic

11

8

1

0.456

0.458

0.193

0.720

1.094

0.137

-0.015

CSEO

p_pelagic

11

8

2

0.392

0.386

0.154

0.646

1.068

0.130

0.046

CSEO

p_pelagic

11

9

1

0.455

0.453

0.197

0.717

1.105

0.133

0.015

CSEO

p_pelagic

11

9

2

0.386

0.382

0.151

0.655

1.101

0.130

0.031

CSEO

p_yellow

13

15

1

0.420

0.367

0.125

0.987

1.010

0.222

0.239

NSEI

p_yellow

13

19

2

0.423

0.374

0.129

0.986

1.010

0.219

0.224

NSEI

p_yellow

13

2

1

0.423

0.372

0.131

0.986

1.011

0.219

0.232

NSEI

p_yellow

13

20

1

0.420

0.368

0.130

0.988

1.010

0.217

0.240

NSEI

p_yellow

13

22

1

0.421

0.367

0.125

0.987

1.012

0.218

0.248

NSEI

p_yellow

13

22

2

0.419

0.368

0.129

0.986

1.013

0.218

0.234

NSEI

p_yellow

13

23

1

0.387

0.333

0.106

0.984

1.011

0.223

0.242

NSEI

p_yellow

13

24

1

0.388

0.334

0.102

0.986

1.012

0.222

0.243

NSEI

p_yellow

13

25

1

0.390

0.338

0.107

0.982

1.011

0.220

0.236

NSEI

p_yellow

13

26

1

0.382

0.324

0.108

0.984

1.013

0.219

0.264

NSEI

p_yellow

13

27

1

0.373

0.317

0.105

0.984

1.015

0.216

0.259

NSEI

p_yellow

13

28

1

0.380

0.332

0.107

0.980

1.013

0.212

0.226

NSEI

p_yellow

13

28

2

0.466

0.437

0.152

0.988

1.012

0.209

0.139

NSEI

p_yellow

13

29

1

0.359

0.315

0.097

0.961

1.017

0.204

0.215

NSEI

p_yellow

13

29

2

0.457

0.426

0.154

0.974

1.011

0.201

0.154

NSEI

p_slope

14

1

2

0.071

0.053

0.010

0.238

1.011

0.063

0.287

NSEO

p_dsr

14

45

1

0.078

0.058

0.013

0.269

1.015

0.068

0.295

NSEO

p_slope

14

6

2

0.074

0.055

0.010

0.250

1.011

0.065

0.292

NSEO

p_pelagic

16

1

1

0.388

0.383

0.136

0.676

1.142

0.144

0.035

SSEO

p_pelagic

16

1

2

0.365

0.358

0.127

0.648

1.157

0.136

0.051

SSEO

p_pelagic

16

10

1

0.398

0.391

0.152

0.679

1.124

0.139

0.050

SSEO

p_pelagic

16

10

2

0.376

0.362

0.139

0.664

1.113

0.140

0.100

SSEO

p_pelagic

16

11

1

0.398

0.394

0.153

0.682

1.110

0.141

0.028

SSEO

p_pelagic

16

11

2

0.375

0.369

0.135

0.662

1.108

0.136

0.044

SSEO

p_pelagic

16

12

1

0.401

0.395

0.157

0.693

1.104

0.139

0.043

SSEO

p_pelagic

16

12

2

0.375

0.364

0.131

0.666

1.110

0.140

0.079

SSEO

p_pelagic

16

13

1

0.401

0.401

0.153

0.674

1.118

0.136

0.000

SSEO

p_pelagic

16

13

2

0.373

0.368

0.136

0.644

1.124

0.133

0.038

SSEO

p_pelagic

16

14

1

0.384

0.378

0.148

0.658

1.096

0.133

0.045

SSEO

p_pelagic

16

14

2

0.376

0.366

0.151

0.658

1.114

0.133

0.075

SSEO

p_pelagic

16

15

1

0.394

0.388

0.160

0.666

1.108

0.135

0.045

SSEO

p_pelagic

16

15

2

0.381

0.372

0.145

0.664

1.103

0.136

0.066

SSEO

p_pelagic

16

16

1

0.383

0.376

0.162

0.651

1.073

0.129

0.054

SSEO

p_pelagic

16

16

2

0.378

0.373

0.147

0.650

1.083

0.131

0.038

SSEO

p_pelagic

16

17

1

0.443

0.440

0.203

0.701

1.074

0.131

0.023

SSEO

p_pelagic

16

17

2

0.397

0.392

0.160

0.661

1.080

0.132

0.038

SSEO

p_pelagic

16

18

1

0.421

0.418

0.195

0.670

1.052

0.126

0.024

SSEO

p_pelagic

16

18

2

0.400

0.394

0.169

0.664

1.049

0.130

0.046

SSEO

p_pelagic

16

19

1

0.410

0.405

0.179

0.672

1.037

0.128

0.039

SSEO

p_pelagic

16

19

2

0.394

0.384

0.161

0.659

1.046

0.129

0.078

SSEO

p_pelagic

16

2

1

0.386

0.382

0.139

0.669

1.127

0.141

0.028

SSEO

p_pelagic

16

2

2

0.367

0.359

0.127

0.660

1.134

0.140

0.057

SSEO

p_pelagic

16

20

1

0.416

0.409

0.190

0.683

1.037

0.127

0.055

SSEO

p_pelagic

16

20

2

0.399

0.392

0.173

0.656

1.029

0.126

0.056

SSEO

p_pelagic

16

21

1

0.400

0.392

0.186

0.656

1.030

0.122

0.066

SSEO

p_pelagic

16

21

2

0.394

0.388

0.173

0.645

1.033

0.126

0.048

SSEO

p_pelagic

16

22

2

0.402

0.396

0.181

0.661

1.018

0.125

0.048

SSEO

p_pelagic

16

23

2

0.317

0.306

0.136

0.567

1.014

0.111

0.099

SSEO

p_pelagic

16

3

1

0.386

0.382

0.137

0.660

1.166

0.140

0.029

SSEO

p_pelagic

16

3

2

0.365

0.356

0.127

0.649

1.128

0.139

0.065

SSEO

p_dsr

16

31

1

0.406

0.406

0.376

0.437

1.336

0.016

0.000

SSEO

p_pelagic

16

4

1

0.389

0.382

0.138

0.664

1.159

0.140

0.050

SSEO

p_pelagic

16

4

2

0.374

0.366

0.131

0.649

1.128

0.140

0.057

SSEO

p_pelagic

16

41

1

0.794

0.794

0.786

0.801

1.110

0.004

0.000

SSEO

p_yellow

16

41

1

0.430

0.430

0.409

0.451

1.046

0.011

0.000

SSEO

p_dsr

16

41

1

0.488

0.481

0.448

0.538

3.077

0.026

0.273

SSEO

p_slope

16

41

1

0.115

0.125

0.071

0.148

4.755

0.025

-0.406

SSEO

p_pelagic

16

5

1

0.392

0.386

0.141

0.679

1.135

0.142

0.042

SSEO

p_pelagic

16

5

2

0.371

0.364

0.131

0.658

1.150

0.138

0.051

SSEO

p_pelagic

16

6

1

0.390

0.384

0.142

0.671

1.129

0.140

0.043

SSEO

p_pelagic

16

6

2

0.367

0.362

0.125

0.645

1.132

0.138

0.036

SSEO

p_pelagic

16

7

1

0.389

0.382

0.143

0.668

1.147

0.140

0.050

SSEO

p_pelagic

16

7

2

0.371

0.366

0.131

0.653

1.114

0.137

0.037

SSEO

p_pelagic

16

8

1

0.394

0.391

0.152

0.668

1.123

0.135

0.022

SSEO

p_pelagic

16

8

2

0.373

0.369

0.130

0.659

1.141

0.138

0.029

SSEO

p_pelagic

16

9

1

0.396

0.392

0.149

0.672

1.117

0.138

0.029

SSEO

p_pelagic

16

9

2

0.368

0.363

0.127

0.645

1.125

0.137

0.037

SSEO

p_pelagic

3

1

1

0.552

0.556

0.285

0.797

1.020

0.130

-0.031

PWSI

p_pelagic

3

1

2

0.188

0.175

0.064

0.386

1.014

0.084

0.155

PWSI

p_pelagic

3

10

1

0.554

0.560

0.288

0.789

1.015

0.132

-0.046

PWSI

p_pelagic

3

10

2

0.189

0.176

0.067

0.382

1.026

0.082

0.158

PWSI

p_pelagic

3

11

1

0.549

0.551

0.286

0.790

1.019

0.132

-0.015

PWSI

p_pelagic

3

11

2

0.190

0.177

0.065

0.391

1.016

0.084

0.156

PWSI

p_pelagic

3

12

1

0.556

0.558

0.302

0.788

1.026

0.128

-0.016

PWSI

p_pelagic

3

12

2

0.190

0.174

0.067

0.396

1.012

0.086

0.187

PWSI

p_pelagic

3

13

1

0.553

0.556

0.297

0.784

1.016

0.128

-0.023

PWSI

p_pelagic

3

13

2

0.190

0.177

0.066

0.392

1.012

0.084

0.156

PWSI

p_pelagic

3

14

1

0.550

0.555

0.290

0.789

1.011

0.130

-0.038

PWSI

p_pelagic

3

14

2

0.195

0.182

0.067

0.388

1.016

0.086

0.152

PWSI

p_pelagic

3

15

1

0.546

0.550

0.283

0.794

1.017

0.132

-0.030

PWSI

p_pelagic

3

15

2

0.187

0.174

0.066

0.382

1.013

0.083

0.157

PWSI

p_pelagic

3

16

1

0.547

0.551

0.289

0.777

1.010

0.129

-0.031

PWSI

p_pelagic

3

16

2

0.189

0.176

0.071

0.393

1.012

0.083

0.157

PWSI

p_pelagic

3

17

1

0.555

0.562

0.293

0.792

1.022

0.131

-0.054

PWSI

p_pelagic

3

17

2

0.188

0.175

0.065

0.375

1.019

0.082

0.159

PWSI

p_pelagic

3

18

1

0.553

0.560

0.288

0.793

1.013

0.131

-0.053

PWSI

p_pelagic

3

18

2

0.190

0.176

0.067

0.388

1.013

0.083

0.169

PWSI

p_pelagic

3

19

1

0.553

0.555

0.308

0.791

1.018

0.127

-0.016

PWSI

p_pelagic

3

2

1

0.551

0.559

0.287

0.789

1.016

0.133

-0.060

PWSI

p_pelagic

3

2

2

0.192

0.181

0.067

0.384

1.016

0.084

0.132

PWSI

p_pelagic

3

3

1

0.549

0.555

0.292

0.785

1.013

0.128

-0.047

PWSI

p_pelagic

3

3

2

0.189

0.177

0.063

0.391

1.016

0.084

0.142

PWSI

p_pelagic

3

4

1

0.548

0.549

0.291

0.790

1.026

0.132

-0.008

PWSI

p_pelagic

3

4

2

0.190

0.177

0.067

0.389

1.013

0.086

0.152

PWSI

p_pelagic

3

5

1

0.551

0.555

0.283

0.787

1.013

0.131

-0.031

PWSI

p_pelagic

3

5

2

0.189

0.176

0.067

0.387

1.015

0.083

0.157

PWSI

p_pelagic

3

6

1

0.553

0.559

0.295

0.778

1.021

0.125

-0.048

PWSI

p_pelagic

3

6

2

0.190

0.178

0.066

0.383

1.012

0.083

0.145

PWSI

p_pelagic

3

7

1

0.552

0.557

0.290

0.792

1.022

0.130

-0.039

PWSI

p_pelagic

3

7

2

0.192

0.178

0.066

0.400

1.011

0.085

0.165

PWSI

p_pelagic

3

8

1

0.548

0.551

0.286

0.790

1.020

0.131

-0.023

PWSI

p_pelagic

3

8

2

0.190

0.177

0.070

0.393

1.015

0.085

0.153

PWSI

p_pelagic

3

9

1

0.550

0.557

0.290

0.779

1.022

0.129

-0.054

PWSI

p_pelagic

3

9

2

0.190

0.177

0.066

0.393

1.016

0.085

0.153

PWSI

p_pelagic

4

14

1

0.539

0.545

0.276

0.774

1.010

0.131

-0.046

PWSO

p_pelagic

4

2

2

0.540

0.545

0.284

0.779

1.010

0.129

-0.039

PWSO

p_black

8

40

1

0.458

0.414

0.342

0.956

1.090

0.155

0.284

afognak

p_black

8

48

1

0.540

0.492

0.412

0.971

1.014

0.151

0.318

afognak

Table Xb. True parameters with an Rhat in excess of 1.1

variable

area_n

year/species

mean

median

lower

upper

Rhat

sd

skew

year

area

beta0_pH

11

1

0.118

0.144

-0.610

0.696

1.315

0.356

-0.073

CSEO

beta1_pH

11

1

3.273

3.212

2.414

4.398

1.243

0.534

0.114

CSEO

beta2_pH

11

1

0.480

0.401

0.184

1.202

1.196

0.304

0.260

CSEO

beta0_pelagic

11

-0.201

-0.116

-1.202

0.143

1.680

0.312

-0.272

CSEO

beta1_pelagic

11

1.236

1.127

0.733

2.420

1.658

0.421

0.259

CSEO

beta3_pelagic

11

29.960

30.113

25.500

32.706

1.214

1.561

-0.098

CSEO

beta2_yellow

15

-8.445

-9.039

-19.868

-0.424

1.108

5.139

0.116

SSEI

beta0_pH

16

4

0.967

0.954

-0.150

2.117

1.111

0.572

0.023

SSEO

beta3_pH

16

4

41.413

41.504

40.262

42.460

2.191

0.612

-0.149

SSEO

beta0_pelagic

16

-0.515

-0.389

-1.433

0.046

1.638

0.422

-0.299

SSEO

beta1_pelagic

16

1.766

1.529

0.727

3.351

1.597

0.778

0.305

SSEO

beta2_pelagic

16

0.819

0.335

0.101

4.615

1.129

1.149

0.421

SSEO

mu_beta1_pH

2

3

3.157

0.122

0.000

15.672

1.379

4.511

0.673

NG

tau_beta1_pH

2

3

2.466

0.024

0.010

27.993

1.145

9.266

0.264

NG

mu_beta1_pH

3

3

0.004

0.000

0.000

0.047

1.205

0.011

0.353

PWSI

tau_beta1_pH

3

2

0.949

0.039

0.010

8.764

1.108

5.554

0.164

PWSI

tau_beta1_pH

3

4

5.886

3.111

0.301

31.577

1.104

10.010

0.277

PWSI

beta0_pelagic

3

0.213

0.252

-0.329

0.557

1.150

0.223

-0.175

PWSI

beta3_pelagic

3

28.080

28.498

23.552

32.866

1.126

2.688

-0.156

PWSI

beta0_pH

8

1

-0.568

-0.523

-1.377

-0.045

1.135

0.352

-0.128

afognak

Table Xc. Summary statistics describing the characteristics of the derived harvest and release estimates that are not converged relative to an Rhat of 1.01.

Statistic

non.BSAI.SOKO.Harv

BSAI.SOKO.Harv

non.BSAI.SOKO.Rel

BSAI.SOKO.Rel

n unconverged at Rhat = 1.01

615.00

211.00

1,011.00

339.00

Prop. of total

0.74

0.26

0.75

0.25

Prop. median less than 1

0.21

0.24

0.32

0.43

Prop. median less than 10

0.30

0.60

0.54

0.76

Prop. median less than 50

0.44

0.83

0.71

0.82

Median of the median values

91.35

5.98

6.49

1.82

Mean of the median values

758.32

138.35

197.42

147.41

Mean skew of posteriors

0.23

0.29

0.27

0.24

Table Xd. Summary statistics describing the characteristics of the derived harvest and release estimates that are not converged relative to an Rhat of 1.1.

Statistic

non.BSAI.SOKO.Harv

BSAI.SOKO.Harv

non.BSAI.SOKO.Rel

BSAI.SOKO.Rel

n unconverged at Rhat = 1.1

1.00

12.00

56.00

48.00

Prop. of total

0.08

0.92

0.54

0.46

Prop. median less than 1

0.00

0.58

0.73

0.48

Prop. median less than 10

0.00

0.83

0.82

0.77

Prop. median less than 50

1.00

1.00

0.95

0.83

Median of the median values

16.12

0.47

0.01

1.58

Mean of the median values

16.12

9.64

35.55

20.34

Mean skew of posteriors

0.22

0.21

0.14

0.18

Table Xe. All parameters and derived quantities that are not converged relative to an Rhat of 1.1.

variable

Freq

beta0_pelagic

3

beta0_pH

3

beta1_pelagic

2

beta1_pH

1

beta2_pelagic

1

beta2_pH

1

beta3_pelagic

2

beta3_pH

1

H_ay

1

H_ayg

1

H_ayu

1

Hb_ayg

1

Hd_ayg

2

Ho_ay

1

Ho_ayg

1

Ho_ayu

1

Hp_ay

1

Hp_ayg

1

Hs_ay

2

Hs_ayg

2

Hs_ayu

5

Hy_ay

1

Hy_ayu

2

mu_beta1_pH

2

mu_wt

1

p_dsr

2

p_pelagic

28

p_slope

2

pH

12

R_ay

2

R_ayg

5

R_ayu

5

Rb_ay

1

Rb_ayg

4

Rb_ayu

3

Rd_ay

2

Rd_ayg

5

Rd_ayu

1

re_dsr

2

re_pelagic

14

re_pH

14

re_slope

2

Ro_ay

15

Ro_ayg

16

Ro_ayu

31

Rp_ay

1

Rp_ayg

4

Rp_ayu

3

Rs_ay

4

Rs_ayg

6

Rs_ayu

13

Ry_ay

12

Ry_ayg

6

Ry_ayu

25

tau_beta1_pH

1

wt

21

Parameter estimates:

Summary Table of Parameter Estimates
Parameter mean sd Lower_CI Median Upper_CI
mu_bc_H[1] -0.013 0.070 -0.142 -0.015 0.130
mu_bc_H[2] 0.069 0.053 -0.028 0.066 0.182
mu_bc_H[3] -0.279 0.070 -0.414 -0.280 -0.140
mu_bc_H[4] -0.927 0.186 -1.303 -0.919 -0.566
mu_bc_H[5] 1.307 1.137 0.083 1.052 4.226
mu_bc_H[6] -2.431 0.318 -3.043 -2.436 -1.790
mu_bc_H[7] -0.450 0.101 -0.653 -0.449 -0.259
mu_bc_H[8] 0.260 0.341 -0.313 0.234 1.038
mu_bc_H[9] -0.247 0.127 -0.497 -0.250 0.001
mu_bc_H[10] 0.059 0.065 -0.063 0.057 0.190
mu_bc_H[11] -0.126 0.037 -0.200 -0.125 -0.052
mu_bc_H[12] -0.248 0.104 -0.470 -0.244 -0.047
mu_bc_H[13] -0.160 0.073 -0.300 -0.161 -0.014
mu_bc_H[14] -0.302 0.090 -0.486 -0.301 -0.133
mu_bc_H[15] -0.337 0.047 -0.432 -0.336 -0.244
mu_bc_H[16] -0.142 0.384 -0.774 -0.184 0.727
mu_bc_R[1] 1.053 0.123 0.811 1.051 1.287
mu_bc_R[2] 1.015 0.078 0.850 1.017 1.162
mu_bc_R[3] 0.237 0.093 0.048 0.239 0.416
mu_bc_R[4] 0.683 0.197 0.272 0.688 1.046
mu_bc_R[5] 1.681 0.380 0.928 1.673 2.429
mu_bc_R[6] -1.457 0.337 -2.135 -1.463 -0.795
mu_bc_R[7] 0.514 0.167 0.177 0.516 0.830
mu_bc_R[8] 0.650 0.152 0.362 0.647 0.949
mu_bc_R[9] 0.395 0.170 0.054 0.401 0.723
mu_bc_R[10] 0.907 0.103 0.704 0.905 1.111
mu_bc_R[11] 1.110 0.076 0.964 1.110 1.266
mu_bc_R[12] 0.879 0.162 0.567 0.877 1.209
mu_bc_R[13] 1.036 0.093 0.849 1.037 1.214
mu_bc_R[14] 0.872 0.122 0.636 0.872 1.114
mu_bc_R[15] 0.802 0.097 0.611 0.803 0.988
mu_bc_R[16] 1.355 0.114 1.120 1.355 1.576
tau_pH[1] 2.418 0.183 2.070 2.419 2.783
tau_pH[2] 1.635 0.154 1.347 1.629 1.951
tau_pH[3] 1.206 0.112 1.000 1.202 1.437
tau_pH[4] 1.073 0.145 0.817 1.066 1.374
tau_pH[5] 0.445 0.079 0.305 0.438 0.616
beta0_pH[1,1] 0.581 0.178 0.199 0.588 0.899
beta0_pH[2,1] 1.412 0.164 1.084 1.417 1.732
beta0_pH[3,1] 1.401 0.207 0.922 1.419 1.751
beta0_pH[4,1] 1.573 0.250 0.975 1.613 1.966
beta0_pH[5,1] -0.691 0.360 -1.519 -0.651 -0.113
beta0_pH[6,1] -0.440 0.403 -1.493 -0.344 0.062
beta0_pH[7,1] 0.759 0.011 0.737 0.758 0.781
beta0_pH[8,1] -0.568 0.352 -1.377 -0.523 -0.045
beta0_pH[9,1] -0.286 0.275 -0.873 -0.259 0.197
beta0_pH[10,1] 0.304 0.197 -0.086 0.315 0.658
beta0_pH[11,1] 0.118 0.356 -0.610 0.144 0.696
beta0_pH[12,1] 0.614 0.196 0.209 0.623 0.966
beta0_pH[13,1] -0.687 0.151 -1.008 -0.682 -0.411
beta0_pH[14,1] 0.009 0.168 -0.333 0.013 0.324
beta0_pH[15,1] 0.069 0.183 -0.330 0.081 0.385
beta0_pH[16,1] -0.870 0.172 -1.172 -0.879 -0.533
beta0_pH[1,2] 2.563 0.085 2.403 2.559 2.736
beta0_pH[2,2] 3.079 0.022 3.036 3.079 3.123
beta0_pH[3,2] 3.625 0.040 3.549 3.625 3.702
beta0_pH[4,2] 2.936 0.019 2.899 2.936 2.974
beta0_pH[5,2] 4.536 1.438 2.783 4.268 7.985
beta0_pH[6,2] 3.322 0.158 3.027 3.319 3.646
beta0_pH[7,2] 2.034 0.049 1.938 2.034 2.132
beta0_pH[8,2] 2.822 0.064 2.698 2.822 2.950
beta0_pH[9,2] 3.952 0.206 3.574 3.948 4.376
beta0_pH[10,2] 3.993 0.130 3.748 3.989 4.258
beta0_pH[11,2] 1.885 0.009 1.868 1.885 1.902
beta0_pH[12,2] 1.793 0.068 1.661 1.793 1.931
beta0_pH[13,2] 2.497 0.027 2.446 2.498 2.548
beta0_pH[14,2] 1.803 0.024 1.756 1.802 1.851
beta0_pH[15,2] 2.545 0.017 2.511 2.545 2.578
beta0_pH[16,2] 2.765 0.025 2.715 2.766 2.814
beta0_pH[1,3] 1.085 0.427 0.108 1.172 1.650
beta0_pH[2,3] 2.125 0.017 2.092 2.125 2.159
beta0_pH[3,3] 2.691 0.024 2.644 2.691 2.737
beta0_pH[4,3] 2.980 0.035 2.913 2.980 3.049
beta0_pH[5,3] 3.312 2.164 0.944 2.777 9.082
beta0_pH[6,3] 1.365 0.373 0.718 1.340 2.203
beta0_pH[7,3] 0.860 0.050 0.763 0.860 0.961
beta0_pH[8,3] 0.274 0.340 -0.468 0.315 0.715
beta0_pH[9,3] -2.076 1.109 -4.685 -1.956 -0.304
beta0_pH[10,3] -0.333 0.775 -2.103 -0.270 0.956
beta0_pH[11,3] 1.537 0.538 0.478 1.532 2.598
beta0_pH[12,3] 0.950 0.798 -0.786 1.010 2.267
beta0_pH[13,3] 1.438 0.506 0.420 1.435 2.414
beta0_pH[14,3] 0.723 0.488 -0.343 0.761 1.567
beta0_pH[15,3] 0.995 0.484 0.037 0.991 1.986
beta0_pH[16,3] 1.182 0.643 -0.121 1.194 2.411
beta0_pH[11,4] 0.914 0.455 -0.005 0.898 1.900
beta0_pH[12,4] 0.840 0.717 -0.664 0.818 2.298
beta0_pH[13,4] 0.609 0.607 -0.888 0.701 1.579
beta0_pH[14,4] 0.359 0.442 -0.568 0.406 1.114
beta0_pH[15,4] 0.551 0.420 -0.581 0.588 1.262
beta0_pH[16,4] 0.967 0.572 -0.150 0.954 2.117
beta0_pH[11,5] 2.961 0.145 2.697 2.953 3.265
beta0_pH[12,5] -0.917 0.504 -1.921 -0.912 0.037
beta0_pH[13,5] 4.862 0.420 4.096 4.852 5.753
beta0_pH[14,5] 3.881 0.359 3.220 3.867 4.648
beta0_pH[15,5] 2.285 0.123 2.048 2.282 2.542
beta0_pH[16,5] 0.259 0.067 0.163 0.247 0.423
beta1_pH[1,1] 2.510 0.463 1.765 2.463 3.596
beta1_pH[2,1] 1.606 0.308 1.038 1.599 2.178
beta1_pH[3,1] 1.804 0.392 1.171 1.760 2.761
beta1_pH[4,1] 1.977 0.566 1.220 1.850 3.644
beta1_pH[5,1] 2.177 0.449 1.435 2.128 3.211
beta1_pH[6,1] 1.897 0.605 1.060 1.781 3.533
beta1_pH[7,1] 0.000 0.000 0.000 0.000 0.000
beta1_pH[8,1] 2.087 0.715 1.136 1.933 4.026
beta1_pH[9,1] 1.878 0.434 1.196 1.811 2.876
beta1_pH[10,1] 2.065 0.349 1.460 2.034 2.864
beta1_pH[11,1] 3.273 0.534 2.414 3.212 4.398
beta1_pH[12,1] 2.921 0.295 2.374 2.912 3.535
beta1_pH[13,1] 3.497 0.250 3.041 3.487 4.039
beta1_pH[14,1] 2.827 0.312 2.216 2.824 3.443
beta1_pH[15,1] 2.382 0.262 1.915 2.367 2.959
beta1_pH[16,1] 4.020 0.242 3.538 4.031 4.446
beta1_pH[1,2] 0.000 0.000 0.000 0.000 0.000
beta1_pH[2,2] 0.000 0.000 0.000 0.000 0.000
beta1_pH[3,2] 0.000 0.000 0.000 0.000 0.000
beta1_pH[4,2] 0.000 0.000 0.000 0.000 0.000
beta1_pH[5,2] 0.000 0.000 0.000 0.000 0.000
beta1_pH[6,2] 0.000 0.000 0.000 0.000 0.000
beta1_pH[7,2] 0.000 0.000 0.000 0.000 0.000
beta1_pH[8,2] 0.000 0.000 0.000 0.000 0.000
beta1_pH[9,2] 0.000 0.000 0.000 0.000 0.000
beta1_pH[10,2] 0.000 0.000 0.000 0.000 0.000
beta1_pH[11,2] 0.000 0.000 0.000 0.000 0.000
beta1_pH[12,2] 0.000 0.000 0.000 0.000 0.000
beta1_pH[13,2] 0.000 0.000 0.000 0.000 0.000
beta1_pH[14,2] 0.000 0.000 0.000 0.000 0.000
beta1_pH[15,2] 0.000 0.000 0.000 0.000 0.000
beta1_pH[16,2] 0.000 0.000 0.000 0.000 0.000
beta1_pH[1,3] 1.951 1.236 0.112 1.787 5.180
beta1_pH[2,3] 0.000 0.000 0.000 0.000 0.000
beta1_pH[3,3] 0.000 0.000 0.000 0.000 0.000
beta1_pH[4,3] 0.000 0.000 0.000 0.000 0.000
beta1_pH[5,3] 0.000 0.000 0.000 0.000 0.000
beta1_pH[6,3] 0.000 0.000 0.000 0.000 0.000
beta1_pH[7,3] 0.000 0.000 0.000 0.000 0.000
beta1_pH[8,3] 4.152 2.449 0.096 3.767 10.257
beta1_pH[9,3] 7.227 2.823 3.090 6.760 13.902
beta1_pH[10,3] 5.993 2.442 2.515 5.540 11.683
beta1_pH[11,3] 1.687 0.631 0.390 1.706 2.856
beta1_pH[12,3] 3.291 0.819 1.894 3.212 5.167
beta1_pH[13,3] 1.497 0.572 0.345 1.518 2.585
beta1_pH[14,3] 2.028 0.559 1.010 2.000 3.212
beta1_pH[15,3] 1.772 0.578 0.574 1.774 2.885
beta1_pH[16,3] 3.726 0.693 2.378 3.701 5.128
beta1_pH[11,4] 1.912 0.526 0.799 1.938 2.895
beta1_pH[12,4] 3.233 0.731 1.756 3.239 4.805
beta1_pH[13,4] 1.404 0.611 0.380 1.341 2.829
beta1_pH[14,4] 2.023 0.505 1.123 1.990 3.063
beta1_pH[15,4] 1.463 0.458 0.660 1.432 2.567
beta1_pH[16,4] 3.471 0.630 2.159 3.494 4.661
beta1_pH[11,5] 0.000 0.000 0.000 0.000 0.000
beta1_pH[12,5] 0.000 0.000 0.000 0.000 0.000
beta1_pH[13,5] 0.000 0.000 0.000 0.000 0.000
beta1_pH[14,5] 0.000 0.000 0.000 0.000 0.000
beta1_pH[15,5] 0.000 0.000 0.000 0.000 0.000
beta1_pH[16,5] 0.000 0.000 0.000 0.000 0.000
beta2_pH[1,1] 1.322 0.878 0.328 1.030 3.379
beta2_pH[2,1] 1.628 0.962 0.269 1.459 3.431
beta2_pH[3,1] 1.346 0.833 0.236 1.179 2.939
beta2_pH[4,1] 1.073 0.787 0.167 0.815 2.892
beta2_pH[5,1] 2.604 2.717 0.328 1.730 10.613
beta2_pH[6,1] 1.765 2.807 0.142 0.651 10.714
beta2_pH[7,1] 0.000 0.000 0.000 0.000 0.000
beta2_pH[8,1] 1.535 2.471 0.155 0.502 9.451
beta2_pH[9,1] 1.798 2.589 0.218 0.727 10.695
beta2_pH[10,1] 1.888 2.405 0.333 0.952 10.029
beta2_pH[11,1] 0.480 0.304 0.184 0.401 1.202
beta2_pH[12,1] 1.560 0.817 0.610 1.291 3.689
beta2_pH[13,1] 1.006 0.447 0.515 0.895 2.301
beta2_pH[14,1] 1.208 0.728 0.473 0.968 3.423
beta2_pH[15,1] 1.057 0.648 0.372 0.873 3.125
beta2_pH[16,1] 1.036 0.304 0.630 0.972 1.750
beta2_pH[1,2] 0.000 0.000 0.000 0.000 0.000
beta2_pH[2,2] 0.000 0.000 0.000 0.000 0.000
beta2_pH[3,2] 0.000 0.000 0.000 0.000 0.000
beta2_pH[4,2] 0.000 0.000 0.000 0.000 0.000
beta2_pH[5,2] 0.000 0.000 0.000 0.000 0.000
beta2_pH[6,2] 0.000 0.000 0.000 0.000 0.000
beta2_pH[7,2] 0.000 0.000 0.000 0.000 0.000
beta2_pH[8,2] 0.000 0.000 0.000 0.000 0.000
beta2_pH[9,2] 0.000 0.000 0.000 0.000 0.000
beta2_pH[10,2] 0.000 0.000 0.000 0.000 0.000
beta2_pH[11,2] 0.000 0.000 0.000 0.000 0.000
beta2_pH[12,2] 0.000 0.000 0.000 0.000 0.000
beta2_pH[13,2] 0.000 0.000 0.000 0.000 0.000
beta2_pH[14,2] 0.000 0.000 0.000 0.000 0.000
beta2_pH[15,2] 0.000 0.000 0.000 0.000 0.000
beta2_pH[16,2] 0.000 0.000 0.000 0.000 0.000
beta2_pH[1,3] 7.070 6.214 0.194 5.673 20.133
beta2_pH[2,3] 0.000 0.000 0.000 0.000 0.000
beta2_pH[3,3] 0.000 0.000 0.000 0.000 0.000
beta2_pH[4,3] 0.000 0.000 0.000 0.000 0.000
beta2_pH[5,3] 0.000 0.000 0.000 0.000 0.000
beta2_pH[6,3] 0.000 0.000 0.000 0.000 0.000
beta2_pH[7,3] 0.000 0.000 0.000 0.000 0.000
beta2_pH[8,3] 1.657 1.689 0.092 1.115 6.261
beta2_pH[9,3] 0.378 0.919 0.086 0.210 1.649
beta2_pH[10,3] 0.548 1.083 0.117 0.290 2.787
beta2_pH[11,3] -7.247 5.112 -20.052 -5.954 -0.923
beta2_pH[12,3] -7.731 4.941 -20.000 -6.600 -1.432
beta2_pH[13,3] -7.375 4.960 -19.658 -6.083 -1.200
beta2_pH[14,3] -7.355 4.986 -19.817 -6.005 -1.383
beta2_pH[15,3] -7.464 5.044 -20.144 -6.116 -1.172
beta2_pH[16,3] -7.200 4.903 -19.577 -5.776 -1.531
beta2_pH[11,4] -6.061 4.427 -17.242 -4.863 -0.821
beta2_pH[12,4] -6.306 4.524 -17.856 -5.097 -1.062
beta2_pH[13,4] -6.110 4.477 -17.339 -4.874 -0.839
beta2_pH[14,4] -6.205 4.392 -17.358 -5.069 -1.160
beta2_pH[15,4] -6.221 4.435 -17.069 -5.056 -0.935
beta2_pH[16,4] -6.243 4.215 -16.903 -5.031 -1.410
beta2_pH[11,5] 0.000 0.000 0.000 0.000 0.000
beta2_pH[12,5] 0.000 0.000 0.000 0.000 0.000
beta2_pH[13,5] 0.000 0.000 0.000 0.000 0.000
beta2_pH[14,5] 0.000 0.000 0.000 0.000 0.000
beta2_pH[15,5] 0.000 0.000 0.000 0.000 0.000
beta2_pH[16,5] 0.000 0.000 0.000 0.000 0.000
beta3_pH[1,1] 34.992 1.121 32.925 35.021 37.440
beta3_pH[2,1] 32.650 1.727 29.657 32.524 36.687
beta3_pH[3,1] 33.085 1.357 30.580 33.042 36.213
beta3_pH[4,1] 33.039 1.929 29.935 32.869 37.935
beta3_pH[5,1] 27.663 1.015 26.185 27.562 30.353
beta3_pH[6,1] 32.858 2.761 25.813 32.976 38.241
beta3_pH[7,1] 25.000 0.000 25.000 25.000 25.000
beta3_pH[8,1] 34.426 3.442 29.165 33.807 41.099
beta3_pH[9,1] 31.768 2.295 27.779 31.685 36.588
beta3_pH[10,1] 32.458 1.344 30.011 32.393 35.534
beta3_pH[11,1] 31.414 1.193 29.373 31.375 33.872
beta3_pH[12,1] 30.779 0.469 29.814 30.801 31.636
beta3_pH[13,1] 31.376 0.539 30.348 31.362 32.437
beta3_pH[14,1] 32.413 0.747 31.147 32.350 33.958
beta3_pH[15,1] 30.988 0.724 29.487 31.020 32.359
beta3_pH[16,1] 30.107 0.352 29.429 30.095 30.787
beta3_pH[1,2] 34.415 5.526 25.530 34.345 43.539
beta3_pH[2,2] 34.706 5.465 25.530 34.684 43.555
beta3_pH[3,2] 30.449 7.270 18.748 30.333 42.423
beta3_pH[4,2] 30.280 7.267 18.466 30.159 42.337
beta3_pH[5,2] 30.712 7.269 18.553 30.914 42.403
beta3_pH[6,2] 30.107 7.209 18.513 30.083 42.261
beta3_pH[7,2] 25.000 0.000 25.000 25.000 25.000
beta3_pH[8,2] 25.000 0.000 25.000 25.000 25.000
beta3_pH[9,2] 25.000 0.000 25.000 25.000 25.000
beta3_pH[10,2] 25.000 0.000 25.000 25.000 25.000
beta3_pH[11,2] 24.000 0.000 24.000 24.000 24.000
beta3_pH[12,2] 24.000 0.000 24.000 24.000 24.000
beta3_pH[13,2] 24.000 0.000 24.000 24.000 24.000
beta3_pH[14,2] 24.000 0.000 24.000 24.000 24.000
beta3_pH[15,2] 24.000 0.000 24.000 24.000 24.000
beta3_pH[16,2] 24.000 0.000 24.000 24.000 24.000
beta3_pH[1,3] 38.432 3.060 31.413 39.574 42.823
beta3_pH[2,3] 34.593 5.549 25.393 34.710 43.633
beta3_pH[3,3] 30.731 7.180 18.690 30.791 42.467
beta3_pH[4,3] 30.398 7.147 18.568 30.296 42.194
beta3_pH[5,3] 25.000 0.000 25.000 25.000 25.000
beta3_pH[6,3] 25.000 0.000 25.000 25.000 25.000
beta3_pH[7,3] 25.000 0.000 25.000 25.000 25.000
beta3_pH[8,3] 41.746 1.548 36.915 41.852 43.826
beta3_pH[9,3] 36.210 2.014 34.522 35.402 42.209
beta3_pH[10,3] 37.641 2.409 34.640 36.965 43.298
beta3_pH[11,3] 40.383 1.194 37.994 40.366 42.561
beta3_pH[12,3] 42.005 0.757 40.280 42.261 42.858
beta3_pH[13,3] 41.105 0.884 39.230 41.160 42.670
beta3_pH[14,3] 40.385 0.728 38.956 40.405 41.725
beta3_pH[15,3] 40.476 0.842 38.290 40.566 41.890
beta3_pH[16,3] 41.826 0.385 41.023 41.893 42.559
beta3_pH[11,4] 40.337 1.079 38.175 40.281 42.539
beta3_pH[12,4] 41.855 0.795 40.239 42.128 42.892
beta3_pH[13,4] 41.789 1.251 39.206 41.823 43.735
beta3_pH[14,4] 40.445 0.699 39.018 40.477 41.749
beta3_pH[15,4] 41.303 0.985 39.469 41.213 43.382
beta3_pH[16,4] 41.413 0.612 40.262 41.504 42.460
beta3_pH[11,5] 25.000 0.000 25.000 25.000 25.000
beta3_pH[12,5] 25.000 0.000 25.000 25.000 25.000
beta3_pH[13,5] 25.000 0.000 25.000 25.000 25.000
beta3_pH[14,5] 25.000 0.000 25.000 25.000 25.000
beta3_pH[15,5] 25.000 0.000 25.000 25.000 25.000
beta3_pH[16,5] 25.000 0.000 25.000 25.000 25.000
beta4_pH[1,1] 0.264 0.021 0.224 0.264 0.306
beta4_pH[2,1] 0.211 0.005 0.200 0.211 0.221
beta4_pH[3,1] 0.173 0.007 0.158 0.173 0.186
beta4_pH[4,1] 0.293 0.011 0.271 0.294 0.316
beta4_pH[5,1] 0.423 0.264 0.088 0.388 0.907
beta4_pH[6,1] 0.786 0.327 0.330 0.747 1.505
beta4_pH[7,1] 0.846 0.332 0.353 0.794 1.670
beta4_pH[8,1] 0.160 0.071 0.045 0.152 0.320
beta4_pH[9,1] 0.210 0.085 0.062 0.206 0.388
beta4_pH[10,1] 0.001 0.001 0.000 0.001 0.003
beta4_pH[11,1] 0.447 0.012 0.424 0.447 0.470
beta4_pH[12,1] 0.641 0.022 0.599 0.640 0.687
beta4_pH[13,1] 0.630 0.014 0.603 0.630 0.658
beta4_pH[14,1] 0.669 0.030 0.612 0.669 0.732
beta4_pH[15,1] 0.798 0.021 0.758 0.797 0.840
beta4_pH[16,1] 1.221 0.041 1.144 1.220 1.303
beta4_pH[1,2] 0.306 0.095 0.132 0.300 0.502
beta4_pH[2,2] 0.513 0.022 0.470 0.514 0.558
beta4_pH[3,2] 0.446 0.012 0.423 0.446 0.469
beta4_pH[4,2] 0.654 0.038 0.580 0.654 0.730
beta4_pH[5,2] 0.727 0.761 0.119 0.544 2.416
beta4_pH[6,2] 0.935 0.893 0.198 0.748 2.812
beta4_pH[7,2] 0.893 0.409 0.348 0.817 1.898
beta4_pH[8,2] 0.852 0.199 0.490 0.841 1.256
beta4_pH[9,2] 1.197 1.296 0.307 0.892 3.978
beta4_pH[10,2] 0.456 0.052 0.357 0.456 0.561
beta4_pH[11,2] 1.271 0.051 1.177 1.270 1.373
beta4_pH[12,2] 0.578 0.109 0.380 0.573 0.813
beta4_pH[13,2] 0.945 0.045 0.859 0.944 1.033
beta4_pH[14,2] 0.930 0.061 0.814 0.928 1.053
beta4_pH[15,2] 1.010 0.025 0.963 1.010 1.061
beta4_pH[16,2] 1.409 0.075 1.265 1.407 1.563
beta4_pH[1,3] 0.283 0.086 0.125 0.278 0.467
beta4_pH[2,3] 0.051 0.017 0.020 0.051 0.088
beta4_pH[3,3] 0.052 0.010 0.034 0.052 0.071
beta4_pH[4,3] 0.173 0.032 0.112 0.172 0.235
beta4_pH[5,3] 0.747 0.782 0.125 0.558 2.540
beta4_pH[6,3] 0.879 0.782 0.197 0.724 2.558
beta4_pH[7,3] 0.896 0.475 0.327 0.813 1.897
beta4_pH[8,3] 0.418 0.198 0.108 0.391 0.869
beta4_pH[9,3] 0.932 0.855 0.161 0.724 3.010
beta4_pH[10,3] 0.061 0.041 0.003 0.055 0.157
beta4_pH[11,3] 0.364 0.016 0.334 0.364 0.394
beta4_pH[12,3] 0.439 0.041 0.363 0.438 0.518
beta4_pH[13,3] 0.840 0.037 0.766 0.839 0.913
beta4_pH[14,3] 0.823 0.066 0.702 0.819 0.963
beta4_pH[15,3] 0.636 0.016 0.605 0.635 0.670
beta4_pH[16,3] 0.634 0.034 0.570 0.634 0.705
beta4_pH[1,4] 0.641 0.352 0.212 0.569 1.483
beta4_pH[2,4] 0.825 0.853 0.113 0.598 2.836
beta4_pH[3,4] 0.868 1.017 0.112 0.584 3.176
beta4_pH[4,4] 0.740 0.493 0.214 0.630 1.908
beta4_pH[5,4] 0.740 0.778 0.116 0.556 2.489
beta4_pH[6,4] 0.916 0.773 0.219 0.737 2.598
beta4_pH[7,4] 0.900 0.430 0.363 0.821 1.925
beta4_pH[8,4] 0.749 0.656 0.161 0.592 2.180
beta4_pH[9,4] 0.779 0.825 0.123 0.574 2.640
beta4_pH[10,4] 1.448 3.019 0.007 0.389 11.109
beta4_pH[11,4] 0.444 0.017 0.411 0.444 0.478
beta4_pH[12,4] 0.557 0.052 0.459 0.556 0.666
beta4_pH[13,4] 0.925 0.037 0.853 0.925 0.996
beta4_pH[14,4] 0.918 0.074 0.777 0.915 1.074
beta4_pH[15,4] 0.713 0.020 0.675 0.713 0.753
beta4_pH[16,4] 0.688 0.041 0.610 0.687 0.770
beta4_pH[1,5] 0.625 0.347 0.218 0.553 1.481
beta4_pH[2,5] 0.804 0.828 0.108 0.582 3.029
beta4_pH[3,5] 0.858 0.943 0.115 0.587 3.335
beta4_pH[4,5] 0.732 0.447 0.218 0.623 1.915
beta4_pH[5,5] 0.768 0.800 0.117 0.558 2.689
beta4_pH[6,5] 0.881 0.777 0.195 0.728 2.546
beta4_pH[7,5] 0.900 0.453 0.344 0.823 1.901
beta4_pH[8,5] 0.743 0.617 0.151 0.603 2.116
beta4_pH[9,5] 0.777 0.844 0.124 0.563 2.694
beta4_pH[10,5] 1.479 3.068 0.006 0.392 10.771
beta4_pH[11,5] 0.603 0.051 0.507 0.602 0.704
beta4_pH[12,5] 0.586 0.166 0.306 0.570 0.965
beta4_pH[13,5] 0.778 0.061 0.664 0.776 0.901
beta4_pH[14,5] 0.840 0.117 0.621 0.837 1.080
beta4_pH[15,5] 1.143 0.073 1.005 1.141 1.293
beta4_pH[16,5] 18.173 4.083 10.100 18.353 24.624
beta0_pelagic[1] 2.269 0.036 2.202 2.268 2.342
beta0_pelagic[2] 1.538 0.007 1.524 1.538 1.551
beta0_pelagic[3] 0.213 0.223 -0.329 0.252 0.557
beta0_pelagic[4] 0.186 0.235 -0.413 0.210 0.597
beta0_pelagic[5] 1.450 0.154 1.153 1.446 1.758
beta0_pelagic[6] 1.355 0.060 1.242 1.354 1.476
beta0_pelagic[7] 1.484 0.039 1.411 1.483 1.562
beta0_pelagic[8] 1.674 0.043 1.592 1.673 1.763
beta0_pelagic[9] 2.795 0.066 2.671 2.794 2.925
beta0_pelagic[10] 2.602 0.032 2.540 2.601 2.667
beta0_pelagic[11] -0.201 0.312 -1.202 -0.116 0.143
beta0_pelagic[12] 1.800 0.036 1.735 1.799 1.876
beta0_pelagic[13] -0.691 0.372 -1.408 -0.654 -0.011
beta0_pelagic[14] -0.277 0.179 -0.691 -0.258 0.019
beta0_pelagic[15] -0.221 0.040 -0.321 -0.204 -0.182
beta0_pelagic[16] -0.515 0.422 -1.433 -0.389 0.046
beta1_pelagic[1] 0.000 0.000 0.000 0.000 0.000
beta1_pelagic[2] 0.000 0.000 0.000 0.000 0.000
beta1_pelagic[3] 0.740 0.245 0.329 0.718 1.369
beta1_pelagic[4] 0.874 0.275 0.417 0.849 1.551
beta1_pelagic[5] 0.000 0.000 0.000 0.000 0.000
beta1_pelagic[6] 0.000 0.000 0.000 0.000 0.000
beta1_pelagic[7] 0.000 0.000 0.000 0.000 0.000
beta1_pelagic[8] 0.000 0.000 0.000 0.000 0.000
beta1_pelagic[9] 0.000 0.000 0.000 0.000 0.000
beta1_pelagic[10] 0.000 0.000 0.000 0.000 0.000
beta1_pelagic[11] 1.236 0.421 0.733 1.127 2.420
beta1_pelagic[12] 0.000 0.000 0.000 0.000 0.000
beta1_pelagic[13] 2.392 0.579 1.294 2.376 3.420
beta1_pelagic[14] 1.805 0.479 1.110 1.714 2.998
beta1_pelagic[15] 0.160 0.217 0.001 0.044 0.730
beta1_pelagic[16] 1.766 0.778 0.727 1.529 3.351
beta2_pelagic[1] 0.000 0.000 0.000 0.000 0.000
beta2_pelagic[2] 0.000 0.000 0.000 0.000 0.000
beta2_pelagic[3] 6.770 5.975 0.207 5.288 21.086
beta2_pelagic[4] 7.449 6.155 0.223 5.999 21.932
beta2_pelagic[5] 0.000 0.000 0.000 0.000 0.000
beta2_pelagic[6] 0.000 0.000 0.000 0.000 0.000
beta2_pelagic[7] 0.000 0.000 0.000 0.000 0.000
beta2_pelagic[8] 0.000 0.000 0.000 0.000 0.000
beta2_pelagic[9] 0.000 0.000 0.000 0.000 0.000
beta2_pelagic[10] 0.000 0.000 0.000 0.000 0.000
beta2_pelagic[11] 1.683 1.510 0.167 1.219 5.796
beta2_pelagic[12] 0.000 0.000 0.000 0.000 0.000
beta2_pelagic[13] 0.234 0.241 0.104 0.191 0.556
beta2_pelagic[14] 0.895 0.981 0.202 0.572 3.760
beta2_pelagic[15] 2.684 1.858 0.188 2.363 7.109
beta2_pelagic[16] 0.819 1.149 0.101 0.335 4.615
beta3_pelagic[1] 29.619 3.729 23.325 29.680 35.715
beta3_pelagic[2] 29.540 3.764 23.348 29.602 35.692
beta3_pelagic[3] 28.080 2.688 23.552 28.498 32.866
beta3_pelagic[4] 26.086 1.344 23.615 26.236 28.777
beta3_pelagic[5] 29.641 6.678 18.705 29.641 40.635
beta3_pelagic[6] 29.743 6.746 18.578 29.734 40.511
beta3_pelagic[7] 29.656 6.564 18.627 29.969 40.422
beta3_pelagic[8] 29.424 6.665 18.621 29.316 40.339
beta3_pelagic[9] 29.620 6.713 18.571 29.721 40.461
beta3_pelagic[10] 29.361 6.661 18.505 29.362 40.336
beta3_pelagic[11] 29.960 1.561 25.500 30.113 32.706
beta3_pelagic[12] 32.374 5.509 23.388 32.305 41.634
beta3_pelagic[13] 32.192 3.558 26.293 31.679 39.945
beta3_pelagic[14] 34.355 1.733 31.632 34.096 38.591
beta3_pelagic[15] 35.039 5.753 23.682 36.353 41.805
beta3_pelagic[16] 31.717 3.262 25.431 31.296 39.447
beta0_yellow[1] -0.483 0.079 -0.643 -0.483 -0.330
beta0_yellow[2] 0.543 0.080 0.377 0.547 0.683
beta0_yellow[3] -0.202 0.130 -0.459 -0.205 0.018
beta0_yellow[4] 0.926 0.203 0.456 0.984 1.184
beta0_yellow[5] 0.256 0.330 -0.448 0.278 0.839
beta0_yellow[6] 0.818 0.105 0.608 0.820 1.025
beta0_yellow[7] 1.000 0.094 0.816 1.001 1.183
beta0_yellow[8] 1.022 0.094 0.840 1.021 1.209
beta0_yellow[9] 0.458 0.101 0.264 0.459 0.657
beta0_yellow[10] 0.538 0.071 0.399 0.537 0.681
beta0_yellow[11] -0.195 0.121 -0.454 -0.185 0.017
beta0_yellow[12] -1.087 0.094 -1.269 -1.087 -0.904
beta0_yellow[13] -1.364 0.208 -1.750 -1.345 -1.066
beta0_yellow[14] -0.257 0.174 -0.600 -0.235 -0.015
beta0_yellow[15] -1.251 0.133 -1.563 -1.236 -1.028
beta0_yellow[16] -0.254 0.094 -0.441 -0.252 -0.069
beta1_yellow[1] 0.000 0.000 0.000 0.000 0.000
beta1_yellow[2] 1.012 0.238 0.571 1.000 1.489
beta1_yellow[3] 0.451 0.240 0.020 0.463 0.896
beta1_yellow[4] 1.249 0.492 0.635 1.155 2.746
beta1_yellow[5] 0.000 0.000 0.000 0.000 0.000
beta1_yellow[6] 0.000 0.000 0.000 0.000 0.000
beta1_yellow[7] 0.000 0.000 0.000 0.000 0.000
beta1_yellow[8] 0.000 0.000 0.000 0.000 0.000
beta1_yellow[9] 0.000 0.000 0.000 0.000 0.000
beta1_yellow[10] 0.000 0.000 0.000 0.000 0.000
beta1_yellow[11] 0.313 0.387 0.001 0.128 1.252
beta1_yellow[12] 0.000 0.000 0.000 0.000 0.000
beta1_yellow[13] 1.136 1.266 0.023 0.775 5.578
beta1_yellow[14] 0.753 1.089 0.013 0.431 4.552
beta1_yellow[15] 0.185 0.228 0.011 0.092 0.769
beta1_yellow[16] 0.000 0.000 0.000 0.000 0.000
beta2_yellow[1] 0.000 0.000 0.000 0.000 0.000
beta2_yellow[2] -7.685 5.842 -21.611 -6.326 -0.465
beta2_yellow[3] -7.670 5.870 -21.780 -6.404 -0.411
beta2_yellow[4] -5.950 5.861 -20.715 -4.179 -0.154
beta2_yellow[5] 0.000 0.000 0.000 0.000 0.000
beta2_yellow[6] 0.000 0.000 0.000 0.000 0.000
beta2_yellow[7] 0.000 0.000 0.000 0.000 0.000
beta2_yellow[8] 0.000 0.000 0.000 0.000 0.000
beta2_yellow[9] 0.000 0.000 0.000 0.000 0.000
beta2_yellow[10] 0.000 0.000 0.000 0.000 0.000
beta2_yellow[11] -7.739 5.986 -22.377 -6.294 -0.423
beta2_yellow[12] 0.000 0.000 0.000 0.000 0.000
beta2_yellow[13] -7.505 6.364 -21.262 -5.932 -0.320
beta2_yellow[14] -7.317 5.823 -21.486 -5.905 -0.372
beta2_yellow[15] -8.445 5.139 -19.868 -9.039 -0.424
beta2_yellow[16] 0.000 0.000 0.000 0.000 0.000
beta3_yellow[1] 25.000 0.000 25.000 25.000 25.000
beta3_yellow[2] 28.854 1.124 27.258 28.680 31.721
beta3_yellow[3] 32.353 3.492 22.932 32.601 39.299
beta3_yellow[4] 29.941 3.210 24.615 28.704 35.746
beta3_yellow[5] 25.000 0.000 25.000 25.000 25.000
beta3_yellow[6] 25.000 0.000 25.000 25.000 25.000
beta3_yellow[7] 25.000 0.000 25.000 25.000 25.000
beta3_yellow[8] 25.000 0.000 25.000 25.000 25.000
beta3_yellow[9] 25.000 0.000 25.000 25.000 25.000
beta3_yellow[10] 25.000 0.000 25.000 25.000 25.000
beta3_yellow[11] 34.366 3.472 29.474 33.459 42.278
beta3_yellow[12] 25.000 0.000 25.000 25.000 25.000
beta3_yellow[13] 33.651 2.614 29.298 33.812 39.463
beta3_yellow[14] 33.785 3.577 29.184 33.248 43.084
beta3_yellow[15] 35.775 3.620 30.237 35.625 43.360
beta3_yellow[16] 25.000 0.000 25.000 25.000 25.000
beta0_black[1] 0.012 0.075 -0.132 0.012 0.161
beta0_black[2] 1.855 0.032 1.792 1.855 1.920
beta0_black[3] 1.239 0.037 1.170 1.239 1.313
beta0_black[4] 2.425 0.047 2.336 2.424 2.522
beta0_black[5] 5.054 2.282 1.870 4.616 10.699
beta0_black[6] 5.165 2.123 2.617 4.593 10.724
beta0_black[7] 4.102 2.109 1.618 3.541 9.922
beta0_black[8] 0.878 0.216 0.479 0.874 1.332
beta0_black[9] 2.815 0.274 2.280 2.810 3.361
beta0_black[10] 1.288 0.051 1.185 1.288 1.387
beta0_black[11] 2.978 0.051 2.879 2.978 3.078
beta0_black[12] 4.918 0.190 4.551 4.917 5.289
beta0_black[13] 0.442 0.327 0.019 0.377 1.214
beta0_black[14] 2.851 0.107 2.644 2.850 3.062
beta0_black[15] 0.723 0.051 0.622 0.723 0.823
beta0_black[16] 3.772 0.073 3.633 3.770 3.916
beta2_black[1] 0.000 0.000 0.000 0.000 0.000
beta2_black[2] 0.000 0.000 0.000 0.000 0.000
beta2_black[3] 0.000 0.000 0.000 0.000 0.000
beta2_black[4] 0.000 0.000 0.000 0.000 0.000
beta2_black[5] 0.000 0.000 0.000 0.000 0.000
beta2_black[6] 0.000 0.000 0.000 0.000 0.000
beta2_black[7] 0.000 0.000 0.000 0.000 0.000
beta2_black[8] 0.000 0.000 0.000 0.000 0.000
beta2_black[9] 0.000 0.000 0.000 0.000 0.000
beta2_black[10] 0.000 0.000 0.000 0.000 0.000
beta2_black[11] 0.000 0.000 0.000 0.000 0.000
beta2_black[12] 0.000 0.000 0.000 0.000 0.000
beta2_black[13] -2.534 1.738 -6.801 -2.149 -0.295
beta2_black[14] 0.000 0.000 0.000 0.000 0.000
beta2_black[15] 0.000 0.000 0.000 0.000 0.000
beta2_black[16] 0.000 0.000 0.000 0.000 0.000
beta3_black[1] 25.000 0.000 25.000 25.000 25.000
beta3_black[2] 25.000 0.000 25.000 25.000 25.000
beta3_black[3] 25.000 0.000 25.000 25.000 25.000
beta3_black[4] 25.000 0.000 25.000 25.000 25.000
beta3_black[5] 25.000 0.000 25.000 25.000 25.000
beta3_black[6] 25.000 0.000 25.000 25.000 25.000
beta3_black[7] 25.000 0.000 25.000 25.000 25.000
beta3_black[8] 25.000 0.000 25.000 25.000 25.000
beta3_black[9] 25.000 0.000 25.000 25.000 25.000
beta3_black[10] 25.000 0.000 25.000 25.000 25.000
beta3_black[11] 25.000 0.000 25.000 25.000 25.000
beta3_black[12] 25.000 0.000 25.000 25.000 25.000
beta3_black[13] 37.448 3.200 27.433 38.201 40.874
beta3_black[14] 25.000 0.000 25.000 25.000 25.000
beta3_black[15] 25.000 0.000 25.000 25.000 25.000
beta3_black[16] 25.000 0.000 25.000 25.000 25.000
beta4_black[1] -0.326 0.091 -0.505 -0.326 -0.145
beta4_black[2] 0.258 0.053 0.155 0.259 0.362
beta4_black[3] -0.719 0.064 -0.842 -0.721 -0.595
beta4_black[4] 0.628 0.132 0.380 0.628 0.886
beta4_black[5] 0.767 1.527 -1.183 0.475 4.304
beta4_black[6] 0.826 1.307 -0.876 0.554 4.030
beta4_black[7] 0.738 1.320 -0.909 0.492 3.696
beta4_black[8] 0.080 0.284 -0.520 0.089 0.623
beta4_black[9] 1.019 0.824 -0.109 0.858 3.118
beta4_black[10] 0.074 0.067 -0.055 0.072 0.210
beta4_black[11] -0.608 0.067 -0.737 -0.608 -0.473
beta4_black[12] 1.239 0.294 0.683 1.228 1.823
beta4_black[13] -1.004 0.076 -1.153 -1.005 -0.855
beta4_black[14] 0.221 0.180 -0.126 0.222 0.590
beta4_black[15] 0.002 0.046 -0.085 0.003 0.093
beta4_black[16] -0.415 0.116 -0.647 -0.414 -0.186
beta0_dsr[11] -0.328 0.009 -0.347 -0.328 -0.311
beta0_dsr[12] 1.408 0.045 1.320 1.407 1.498
beta0_dsr[13] 0.155 0.022 0.113 0.155 0.196
beta0_dsr[14] -0.127 0.017 -0.160 -0.127 -0.095
beta0_dsr[15] 0.206 0.014 0.180 0.206 0.232
beta0_dsr[16] 0.160 0.016 0.129 0.160 0.191
beta1_dsr[11] 0.000 0.000 0.000 0.000 0.000
beta1_dsr[12] 0.000 0.000 0.000 0.000 0.000
beta1_dsr[13] 0.000 0.000 0.000 0.000 0.000
beta1_dsr[14] 0.000 0.000 0.000 0.000 0.000
beta1_dsr[15] 0.000 0.000 0.000 0.000 0.000
beta1_dsr[16] 0.000 0.000 0.000 0.000 0.000
beta4_dsr[11] 0.545 0.035 0.473 0.545 0.614
beta4_dsr[12] 0.798 0.230 0.356 0.791 1.264
beta4_dsr[13] -0.077 0.040 -0.154 -0.077 0.002
beta4_dsr[14] -0.208 0.071 -0.346 -0.208 -0.071
beta4_dsr[15] 0.216 0.021 0.175 0.216 0.258
beta4_dsr[16] -0.050 0.045 -0.138 -0.050 0.037
beta0_slope[11] -2.209 0.021 -2.250 -2.209 -2.168
beta0_slope[12] -4.984 0.188 -5.371 -4.976 -4.636
beta0_slope[13] -1.501 0.035 -1.570 -1.502 -1.435
beta0_slope[14] -2.712 0.051 -2.812 -2.710 -2.614
beta0_slope[15] -1.592 0.022 -1.635 -1.592 -1.550
beta0_slope[16] -2.657 0.040 -2.733 -2.658 -2.577
beta1_slope[11] 0.000 0.000 0.000 0.000 0.000
beta1_slope[12] 0.000 0.000 0.000 0.000 0.000
beta1_slope[13] 0.000 0.000 0.000 0.000 0.000
beta1_slope[14] 0.000 0.000 0.000 0.000 0.000
beta1_slope[15] 0.000 0.000 0.000 0.000 0.000
beta1_slope[16] 0.000 0.000 0.000 0.000 0.000
beta4_slope[11] -0.334 0.074 -0.488 -0.333 -0.190
beta4_slope[12] -4.652 0.791 -6.323 -4.620 -3.209
beta4_slope[13] 0.327 0.054 0.225 0.326 0.436
beta4_slope[14] -0.157 0.153 -0.466 -0.155 0.133
beta4_slope[15] -0.360 0.033 -0.424 -0.361 -0.295
beta4_slope[16] -0.134 0.103 -0.346 -0.132 0.062
beta5_slope[11] 3.067 0.108 2.865 3.068 3.289
beta5_slope[12] 2.009 0.386 1.285 1.997 2.819
beta5_slope[13] 0.880 0.079 0.726 0.881 1.029
beta5_slope[14] 3.746 0.346 3.130 3.734 4.467
beta5_slope[15] 1.310 0.072 1.177 1.310 1.452
beta5_slope[16] 2.724 0.236 2.273 2.714 3.212
tau_comp[1] 3.790 0.298 3.239 3.779 4.430
tau_comp[2] 2.866 0.249 2.416 2.851 3.376
tau_comp[3] 0.870 0.074 0.737 0.868 1.029
tau_comp[4] 1.783 0.276 1.307 1.760 2.375
tau_comp[5] 1.280 0.187 0.948 1.264 1.677
sigma_H[1] 0.206 0.049 0.118 0.203 0.310
sigma_H[2] 0.174 0.028 0.127 0.172 0.238
sigma_H[3] 0.188 0.041 0.114 0.184 0.274
sigma_H[4] 0.462 0.081 0.330 0.453 0.644
sigma_H[5] 0.961 0.202 0.593 0.951 1.396
sigma_H[6] 0.552 0.193 0.189 0.540 0.953
sigma_H[7] 0.310 0.060 0.215 0.302 0.447
sigma_H[8] 0.425 0.088 0.298 0.413 0.618
sigma_H[9] 0.511 0.117 0.325 0.498 0.781
sigma_H[10] 0.211 0.039 0.145 0.208 0.300
sigma_H[11] 0.266 0.045 0.190 0.262 0.363
sigma_H[12] 0.386 0.149 0.196 0.340 0.726
sigma_H[13] 0.219 0.037 0.156 0.216 0.302
sigma_H[14] 0.498 0.091 0.343 0.492 0.694
sigma_H[15] 0.231 0.038 0.166 0.227 0.316
sigma_H[16] 0.214 0.040 0.144 0.210 0.306
lambda_H[1] 2.152 3.477 0.072 0.929 11.507
lambda_H[2] 5.205 4.974 0.508 3.667 19.039
lambda_H[3] 5.525 7.803 0.283 2.980 26.653
lambda_H[4] 0.006 0.004 0.001 0.005 0.017
lambda_H[5] 2.386 5.273 0.025 0.641 17.829
lambda_H[6] 6.693 14.088 0.009 0.451 47.082
lambda_H[7] 0.012 0.008 0.002 0.010 0.034
lambda_H[8] 7.711 10.210 0.087 4.237 36.462
lambda_H[9] 0.015 0.010 0.003 0.013 0.042
lambda_H[10] 0.244 0.662 0.025 0.152 0.848
lambda_H[11] 0.233 0.330 0.010 0.114 1.043
lambda_H[12] 3.818 5.326 0.171 2.108 17.935
lambda_H[13] 3.132 2.854 0.264 2.282 11.047
lambda_H[14] 3.280 3.963 0.243 2.021 13.658
lambda_H[15] 0.018 0.021 0.003 0.014 0.055
lambda_H[16] 0.486 0.725 0.034 0.252 2.361
mu_lambda_H[1] 4.108 1.905 1.093 3.904 8.301
mu_lambda_H[2] 3.708 1.917 0.514 3.547 7.620
mu_lambda_H[3] 3.439 1.919 0.694 3.137 7.743
sigma_lambda_H[1] 8.121 4.317 1.731 7.363 17.876
sigma_lambda_H[2] 8.211 4.666 0.850 7.590 18.204
sigma_lambda_H[3] 6.358 4.225 0.906 5.445 17.022
beta_H[1,1] 6.483 1.314 3.276 6.687 8.438
beta_H[2,1] 9.752 0.594 8.407 9.781 10.824
beta_H[3,1] 7.833 0.809 5.948 7.922 9.095
beta_H[4,1] 10.806 7.626 -4.443 10.611 25.915
beta_H[5,1] -0.252 2.640 -5.707 -0.102 4.383
beta_H[6,1] 3.221 4.371 -7.612 4.841 8.203
beta_H[7,1] 1.221 5.679 -10.433 1.535 11.484
beta_H[8,1] 1.289 3.920 -2.743 1.214 3.445
beta_H[9,1] 13.615 5.671 2.437 13.466 25.136
beta_H[10,1] 6.820 1.815 2.887 6.860 10.352
beta_H[11,1] 4.980 3.603 -3.051 5.687 10.032
beta_H[12,1] 2.601 1.090 0.720 2.520 4.993
beta_H[13,1] 9.078 0.890 7.162 9.144 10.554
beta_H[14,1] 2.129 1.037 0.009 2.144 4.120
beta_H[15,1] -7.168 3.270 -13.278 -7.296 -0.243
beta_H[16,1] 3.982 3.017 -0.782 3.497 11.041
beta_H[1,2] 7.776 0.273 7.232 7.780 8.307
beta_H[2,2] 9.884 0.161 9.560 9.884 10.207
beta_H[3,2] 8.798 0.204 8.409 8.796 9.206
beta_H[4,2] 2.983 1.460 0.183 2.943 5.940
beta_H[5,2] 1.775 0.976 -0.113 1.782 3.685
beta_H[6,2] 6.100 1.083 3.613 6.261 7.811
beta_H[7,2] 2.412 1.051 0.474 2.362 4.527
beta_H[8,2] 3.005 1.087 1.371 3.140 4.190
beta_H[9,2] 3.152 1.102 0.988 3.128 5.371
beta_H[10,2] 8.027 0.366 7.280 8.036 8.722
beta_H[11,2] 9.809 0.642 8.866 9.688 11.238
beta_H[12,2] 3.942 0.370 3.264 3.927 4.696
beta_H[13,2] 9.148 0.245 8.686 9.143 9.652
beta_H[14,2] 4.017 0.340 3.369 4.013 4.709
beta_H[15,2] 11.577 0.594 10.312 11.604 12.688
beta_H[16,2] 4.464 0.827 2.955 4.448 6.113
beta_H[1,3] 8.448 0.265 7.955 8.439 8.990
beta_H[2,3] 9.874 0.145 9.599 9.870 10.165
beta_H[3,3] 9.477 0.161 9.168 9.472 9.796
beta_H[4,3] -2.128 0.875 -3.870 -2.121 -0.477
beta_H[5,3] 3.920 0.602 2.722 3.928 5.068
beta_H[6,3] 8.383 1.190 6.730 8.045 10.923
beta_H[7,3] -2.584 0.619 -3.779 -2.582 -1.396
beta_H[8,3] 5.295 0.529 4.689 5.223 6.298
beta_H[9,3] -2.666 0.694 -4.017 -2.662 -1.333
beta_H[10,3] 8.566 0.282 8.019 8.565 9.135
beta_H[11,3] 8.509 0.293 7.891 8.534 9.019
beta_H[12,3] 5.261 0.317 4.511 5.302 5.765
beta_H[13,3] 8.855 0.174 8.511 8.859 9.194
beta_H[14,3] 5.776 0.269 5.174 5.801 6.256
beta_H[15,3] 10.268 0.286 9.694 10.263 10.831
beta_H[16,3] 5.900 0.582 4.732 5.916 6.931
beta_H[1,4] 8.093 0.184 7.702 8.106 8.428
beta_H[2,4] 9.857 0.128 9.589 9.864 10.094
beta_H[3,4] 9.972 0.152 9.645 9.981 10.250
beta_H[4,4] 11.803 0.467 10.868 11.798 12.730
beta_H[5,4] 5.610 0.750 4.438 5.518 7.333
beta_H[6,4] 7.272 0.926 5.289 7.550 8.593
beta_H[7,4] 8.539 0.341 7.843 8.541 9.228
beta_H[8,4] 6.709 0.258 6.221 6.723 7.126
beta_H[9,4] 7.420 0.442 6.541 7.409 8.304
beta_H[10,4] 7.526 0.225 7.111 7.516 7.996
beta_H[11,4] 9.509 0.195 9.116 9.509 9.884
beta_H[12,4] 7.249 0.201 6.870 7.249 7.668
beta_H[13,4] 9.065 0.142 8.778 9.064 9.334
beta_H[14,4] 7.833 0.214 7.426 7.834 8.249
beta_H[15,4] 9.478 0.221 9.048 9.478 9.898
beta_H[16,4] 9.430 0.240 8.979 9.420 9.899
beta_H[1,5] 8.888 0.156 8.562 8.891 9.183
beta_H[2,5] 10.676 0.100 10.493 10.674 10.889
beta_H[3,5] 10.763 0.162 10.466 10.756 11.089
beta_H[4,5] 8.346 0.487 7.407 8.323 9.372
beta_H[5,5] 5.175 0.605 3.750 5.252 6.129
beta_H[6,5] 8.995 0.635 8.059 8.860 10.442
beta_H[7,5] 6.577 0.338 5.922 6.563 7.253
beta_H[8,5] 8.243 0.215 7.895 8.227 8.687
beta_H[9,5] 8.195 0.455 7.294 8.194 9.094
beta_H[10,5] 10.036 0.231 9.579 10.038 10.492
beta_H[11,5] 11.585 0.219 11.165 11.581 12.035
beta_H[12,5] 8.612 0.191 8.244 8.612 8.989
beta_H[13,5] 10.140 0.131 9.895 10.135 10.410
beta_H[14,5] 9.241 0.214 8.835 9.234 9.685
beta_H[15,5] 11.309 0.236 10.853 11.303 11.774
beta_H[16,5] 9.824 0.185 9.445 9.834 10.175
beta_H[1,6] 10.131 0.249 9.736 10.096 10.759
beta_H[2,6] 11.471 0.117 11.243 11.470 11.704
beta_H[3,6] 10.619 0.154 10.288 10.628 10.899
beta_H[4,6] 12.916 0.889 11.120 12.940 14.628
beta_H[5,6] 5.668 0.642 4.528 5.637 6.984
beta_H[6,6] 8.768 0.580 7.435 8.808 9.809
beta_H[7,6] 10.535 0.581 9.392 10.555 11.662
beta_H[8,6] 9.522 0.281 9.004 9.540 9.967
beta_H[9,6] 8.282 0.769 6.833 8.262 9.839
beta_H[10,6] 9.142 0.353 8.383 9.163 9.762
beta_H[11,6] 10.705 0.364 9.939 10.733 11.333
beta_H[12,6] 9.382 0.238 8.934 9.384 9.885
beta_H[13,6] 11.100 0.152 10.802 11.095 11.414
beta_H[14,6] 9.912 0.282 9.341 9.910 10.469
beta_H[15,6] 10.553 0.422 9.704 10.548 11.385
beta_H[16,6] 10.596 0.257 10.054 10.612 11.093
beta_H[1,7] 10.123 1.299 6.729 10.433 11.927
beta_H[2,7] 12.104 0.516 11.013 12.137 13.035
beta_H[3,7] 10.303 0.656 8.853 10.352 11.433
beta_H[4,7] 1.353 4.612 -7.366 1.332 10.884
beta_H[5,7] 5.853 2.093 1.874 5.908 9.967
beta_H[6,7] 7.352 3.181 -0.782 8.415 11.269
beta_H[7,7] 7.679 2.930 1.917 7.656 13.528
beta_H[8,7] 10.899 1.049 9.193 10.876 12.662
beta_H[9,7] 4.934 3.987 -3.242 4.948 12.484
beta_H[10,7] 10.020 1.656 7.142 9.885 13.712
beta_H[11,7] 11.303 1.782 8.282 11.104 15.202
beta_H[12,7] 9.794 0.996 7.770 9.879 11.454
beta_H[13,7] 11.716 0.712 10.014 11.782 12.913
beta_H[14,7] 10.591 0.900 8.752 10.635 12.325
beta_H[15,7] 13.981 2.177 9.832 13.959 18.371
beta_H[16,7] 12.833 1.376 10.501 12.702 15.845
beta0_H[1] 8.730 18.323 -28.593 8.560 47.155
beta0_H[2] 10.596 7.938 -5.558 10.603 26.246
beta0_H[3] 9.740 9.406 -9.186 9.904 29.320
beta0_H[4] 10.280 180.351 -347.308 8.680 374.330
beta0_H[5] 3.927 30.610 -56.011 3.928 66.200
beta0_H[6] 6.711 52.085 -108.424 7.618 117.609
beta0_H[7] 1.569 137.360 -297.040 7.808 269.865
beta0_H[8] 6.262 33.813 -20.610 6.455 32.601
beta0_H[9] 5.379 122.721 -234.777 3.659 252.161
beta0_H[10] 8.171 37.253 -71.961 8.591 78.070
beta0_H[11] 10.300 53.177 -91.563 9.395 125.753
beta0_H[12] 6.935 12.537 -17.247 6.993 31.473
beta0_H[13] 10.117 10.633 -10.784 10.186 30.226
beta0_H[14] 7.144 11.303 -15.479 6.974 30.492
beta0_H[15] 11.027 115.940 -215.147 10.502 253.224
beta0_H[16] 7.478 30.896 -57.211 7.980 70.946